Statistic <- c(68,85,74,88,63,78,90,80,58,63)
Math <- c(85,91,74,100,82,84,78,100,51,70)
plot(Statistic,Math,
pch=16,
col="red",
main ="班上的統計與數學分數",
xlab="Statistic",
ylab="Math")

hist(Statistic,
col= "pink",
main ="班上的統計分數",
xlab ="分數",
ylab ="人") #直方圖

library("ggplot2")
data = data.frame(
社團類型=c("娛樂休閒","知識閱讀","體育競技","科學創新","公益活動"),參加次數= c(185,82,36,28,25)
)
ggplot(data, aes(x=社團類型,y=參加次數)) +
geom_bar(stat="identity",width=.5,fill ="lightpink") #長條圖

data<- c(185,82,36,28,25)
labels <- c("休閒娛樂","知識閱讀","體育競技","科學創新","公益活動")
pie(data,labels,main ="參加比率", col=terrain.colors(length(data))) #圓餅圖

Japanese<-c(84,63,61,49,89,51,59,53,79,91)
stem(Japanese)
##
## The decimal point is 1 digit(s) to the right of the |
##
## 4 | 9
## 5 | 139
## 6 | 13
## 7 | 9
## 8 | 49
## 9 | 1
Japanese<-c(84,63,61,49,89,51,59,53,79,91)
mean(Japanese)
## [1] 67.9
Q1 <- quantile(Japanese,1/4)
print(Q1)
## 25%
## 54.5
Q3 <- quantile(Japanese,3/4)
print(Q3)
## 75%
## 82.75